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The increasing complexity and scale of modern cybersecurity threats necessitate the development of advanced systems capable of efficiently detecting, analyzing, and mitigating incidents in real time. This paper proposes an automated framework for digital forensics and incident response that leverages big data analytics and real time network traffic profiling. The framework integrates cutting-edge technologies, including Apache Spark for real time data processing and Hadoop for scalable data storage, combined with machine learning models like LSTM and Autoencoders to detect anomalies and threats in network traffic. By automating the process of incident detection and response, this framework significantly reduces the time required to identify threats and improves the accuracy of forensic evidence correlation across heterogeneous network environments. The study highlights the advantages of using machine learning models and big data tools to address the limitations of traditional manual and semi-automated systems, which often struggle to keep pace with large-scale data generation. Testing results demonstrate that the proposed framework can handle large data volumes efficiently, providing real time, actionable insights with significantly reduced response times. Additionally, the framework improves forensic analysis by enabling the correlation of evidence from different devices and protocols, making it more effective than traditional methods in identifying the root cause of security incidents. However, challenges related to data heterogeneity, scalability, and system integration were encountered during testing. The proposed framework holds promise for significantly enhancing the efficiency and effectiveness of cybersecurity operations, with future work focusing on further integration of advanced AI techniques and machine learning models for dynamic and adaptive incident response.

Currently, advances in Internet technology can help the banking sector run its operations better, one of which is the existence of electronic banking (e-banking), and what is popularly used by the public today is Mobile Banking services. It turns out that there are advantages as well as disadvantages, namely the dangers of digital crime. One of the attack techniques that are often carried out to threaten the security of mobile banking is phishing attacks. Phishing is a manipulation technique that tricks users into revealing the victim's data to open the data or steal the victim's identity. The literature review method, which is a method for reading and analyzing data from papers, books, articles, and videos, is used in this kind of research. The research aims to analyze phishing techniques for mobile banking services and find out the types of phishing fraud modes to maintain security in every transaction. The research results can provide information regarding important steps to prevent digital fraud.

This study describes various problems of the Qur'an in the development of Islamic education and technology in the 4.0 era as well as some answers to overcome existing problems. The type of research in this paper is descriptive qualitative. The data collection technique used was the Library Research method with various reading sources such as pre-existing books or journals. The results of this study indicate that the Al-Qur'an in the development of Islamic education and technology in the 4.0 era consists of: (1) steps to overcome technological backwardness in the world of Islamic education which are always related to the Al-Qur'an, (2 ) Steps that need to be considered by an educator to understand digital skills in the learning process, (3) Some preparations that must be prepared before becoming an educator (teacher) so that learning goes well, (4) Methods that need to be studied and prepared by educators (teachers) before providing teaching materials in the classroom.  

Books are one of the media that provide various information and knowledge on each page. Picture storybooks are among the most popular media for children because they contain interesting illustrations. Most regions in Indonesia have folklores or legends that contain strong local cultural elements, one of which is the legend of Goa Putri. At this time the legend of Goa Putri is conveyed through the signboard in front of the entrance to the Goa Putri Destination which has faded due to weather factors. In addition, the legend of Goa Putri is still conveyed orally by parents to their children from generation to generation without any supporting media. So the need for visual communication media to convey the legend of Goa Putri in the form of Pictures Book as a medium of information that can increase knowledge about existing local cultures. Therefore, this design is used to get a design concept and create a picture story based on the visualization of the legend of the Goa Putri the Paper Cut Digital style that applies Shading, silhouette style, Perception of depth and detailing. The method used in the design of the Glass Box method and for data analysis using the 5W + 1H method. In this design, in addition to the picture book as the main media, there are supporting media presented in the form of E-Book media, Paper Cut Shadow Box, Poster, Tote Bag, Pouch, Sticker, and Bookmark.